کلاس نهایی عمومی RunMetadata
Metadata output (i.e., non-Tensor) for a single Run() call.
tensorflow.RunMetadata
کلاس های تو در تو
کلاس | RunMetadata.Builder | Metadata output (i.e., non-Tensor) for a single Run() call. | |
کلاس | RunMetadata.FunctionGraphs | نوع Protobuf tensorflow.RunMetadata.FunctionGraphs | |
رابط کاربری | RunMetadata.FunctionGraphsOrBuilder |
ثابت ها
بین المللی | COST_GRAPH_FIELD_NUMBER | |
بین المللی | FUNCTION_GRAPHS_FIELD_NUMBER | |
بین المللی | PARTITION_GRAPHS_FIELD_NUMBER | |
بین المللی | STEP_STATS_FIELD_NUMBER |
روش های عمومی
بولی | برابر است (object obj) |
CostGraphDef | getCostGraph () The cost graph for the computation defined by the run call. |
CostGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
RunMetadata استاتیک | |
RunMetadata | |
نهایی static com.google.protobuf.Descriptors.Descriptor | |
RunMetadata.FunctionGraphs | getFunctionGraphs (شاخص int) This is only populated for graphs that are run as functions in TensorFlow V2. |
بین المللی | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
List< RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (شاخص int) This is only populated for graphs that are run as functions in TensorFlow V2. |
لیست<? RunMetadata.FunctionGraphsOrBuilder > را گسترش می دهد | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
GraphDef | getPartitionGraphs (شاخص int) Graphs of the partitions executed by executors. |
بین المللی | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
لیست < GraphDef > | getPartitionGraphsList () Graphs of the partitions executed by executors. |
GraphDefOrBuilder | getPartitionGraphsOrBuilder (شاخص int) Graphs of the partitions executed by executors. |
لیست<? GraphDefOrBuilder > را گسترش می دهد | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
بین المللی | |
StepStats | getStepStats () Statistics traced for this step. |
StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
com.google.protobuf.UnknownFieldSet نهایی | |
بولی | hasCostGraph () The cost graph for the computation defined by the run call. |
بولی | hasStepStats () Statistics traced for this step. |
بین المللی | هش کد () |
بولی نهایی | |
استاتیک RunMetadata.Builder | newBuilder (نمونه اولیه RunMetadata ) |
استاتیک RunMetadata.Builder | newBuilder () |
RunMetadata.Builder | |
RunMetadata استاتیک | parseDelimitedFrom (ورودی جریان ورودی) |
RunMetadata استاتیک | parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata استاتیک | parseFrom (داده های ByteBuffer) |
RunMetadata استاتیک | parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata استاتیک | parseFrom (دادههای ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata استاتیک | parseFrom (ورودی com.google.protobuf.CodedInputStream) |
RunMetadata استاتیک | parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata استاتیک | parseFrom (داده های com.google.protobuf.ByteString) |
RunMetadata استاتیک | parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata استاتیک | parseFrom (دادههای com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
ایستا | تجزیه کننده () |
RunMetadata.Builder | toBuilder () |
باطل | writeTo (خروجی com.google.protobuf.CodedOutputStream) |
روش های ارثی
ثابت ها
نهایی استاتیک عمومی COST_GRAPH_FIELD_NUMBER
ارزش ثابت: 2
نهایی استاتیک عمومی FUNCTION_GRAPHS_FIELD_NUMBER
ارزش ثابت: 4
نهایی استاتیک عمومی PARTITION_GRAPHS_FIELD_NUMBER
مقدار ثابت: 3
STEP_STATS_FIELD_NUMBER نهایی استاتیک عمومی
ارزش ثابت: 1
روش های عمومی
بولین عمومی برابر است (Object Obj)
عمومی CostGraphDef getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
عمومی CostGraphDefOrBuilder getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
عمومی RunMetadata.FunctionGraphs getFunctionGraphs (int index)
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
public int getFunctionGraphsCount ()
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
لیست عمومی < RunMetadata.FunctionGraphs > getFunctionGraphsList ()
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
عمومی RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (int index)
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
لیست عمومی<? RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList را گسترش می دهد ()
This is only populated for graphs that are run as functions in TensorFlow V2. There will be an entry below for each function that is traced. The main use cases of the post_optimization_graph and the partition_graphs is to give the caller insight into the graphs that were actually run by the runtime. Additional information (such as those in step_stats) will match these graphs. We also include the pre_optimization_graph since it is usually easier to read, and is helpful in situations where the caller wants to get a high level idea of what the built graph looks like (since the various graph optimization passes might change the structure of the graph significantly).
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;
عمومی getParserForType ()
عمومی GraphDef getPartitionGraphs (int index)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
public int getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
لیست عمومی< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
عمومی GraphDefOrBuilder getPartitionGraphsOrBuilder (int index)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
لیست عمومی<? گسترش GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
عمومی int getSerializedSize ()
عمومی StepStats getStepStats ()
Statistics traced for this step. Populated if tracing is turned on via the "RunOptions" proto. EXPERIMENTAL: The format and set of events may change in future versions.
.tensorflow.StepStats step_stats = 1;
عمومی StepStatsOrBuilder getStepStatsOrBuilder ()
Statistics traced for this step. Populated if tracing is turned on via the "RunOptions" proto. EXPERIMENTAL: The format and set of events may change in future versions.
.tensorflow.StepStats step_stats = 1;
عمومی نهایی com.google.protobuf.UnknownFieldSet getUnknownFields ()
بولی عمومی hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
hasStepStats بولی عمومی ()
Statistics traced for this step. Populated if tracing is turned on via the "RunOptions" proto. EXPERIMENTAL: The format and set of events may change in future versions.
.tensorflow.StepStats step_stats = 1;
هش کد عمومی ()
بولین نهایی عمومی isInitialized ()
عمومی استاتیک RunMetadata parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
IOException |
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عمومی استاتیک RunMetadata parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
IOException |
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عمومی استاتیک RunMetadata parseFrom (داده های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
InvalidProtocolBufferException |
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عمومی استاتیک RunMetadata parseFrom (ورودی com.google.protobuf.CodedInputStream)
پرتاب می کند
IOException |
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عمومی استاتیک RunMetadata parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
InvalidProtocolBufferException |
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عمومی استاتیک RunMetadata parseFrom (داده های com.google.protobuf.ByteString)
پرتاب می کند
InvalidProtocolBufferException |
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عمومی استاتیک RunMetadata parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
IOException |
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عمومی استاتیک RunMetadata parseFrom (داده های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
پرتاب می کند
InvalidProtocolBufferException |
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استاتیک عمومی تجزیه کننده ()
public void writeTo (خروجی com.google.protobuf.CodedOutputStream)
پرتاب می کند
IOException |
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